000			01005 a2200193 4500
005			20250312104839.0
020			_a9781800562882
082			_a006.31 RAJ
100			_aRaj, Emmanuel
245			_aEngineering MLOps: Rapidly build, test, and manage production-ready machine learning life cycles at scale
260			_bPackt Publishing Ltd _c2021 _aBirmingham
300			_a353
520			_aFormulate data governance strategies and pipelines for ML training and deployment Get to grips with implementing ML pipelines, CI/CD pipelines, and ML monitoring pipelines Design a robust and scalable microservice and API for test and production environments Curate your custom CD processes for related use cases and organizations Monitor ML models, including monitoring data drift, model drift, and application performance Build and maintain automated ML systems
650			_aCloud computing
650			_aMachine learning
650			_aData Science
650			_aEngineering MLOps
942			_cBK _2ddc
999			_c49769 _d49769